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Advanced Image Retrieval Technology in Future Mobile Teaching and Learning

Handbook of Mobile Teaching and Learning

Abstract

Advanced image retrieval technology has been widely adopted in many industries and areas. This technology is also adopted in higher education by some educators and researchers in recent years. With the introduction of mobile technology, it has been adopted in mobile teaching and learning in different disciplines. The image retrieval technology can improve learning efficiency, improve memory by providing similar learning contents, and engage students in learning. However, it is also limited by some software and hardware barriers on mobile devices, such as computing capability, screen size, and quality of wireless connections. Although it is believed to have both advantages and disadvantages in mobile learning, the adoption of the advanced image retrieval technology greatly enhanced the capability of image searching and learning experience by students and educators. The advanced image retrieval technology is believed to play a more important role in future mobile teaching and learning in different industries and businesses as well as in higher education.

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Correspondence to Lei Wang .

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© 2015 Springer-Verlag Berlin Heidelberg

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Wang, L., Zhang, Y.(. (2015). Advanced Image Retrieval Technology in Future Mobile Teaching and Learning. In: Zhang, Y. (eds) Handbook of Mobile Teaching and Learning. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41981-2_53-1

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  • DOI: https://doi.org/10.1007/978-3-642-41981-2_53-1

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  • Online ISBN: 978-3-642-41981-2

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Chapter history

  1. Latest

    Advanced Image Retrieval Technology in Future Mobile Teaching and Learning
    Published:
    13 October 2018

    DOI: https://doi.org/10.1007/978-3-642-41981-2_53-2

  2. Original

    Advanced Image Retrieval Technology in Future Mobile Teaching and Learning
    Published:
    18 April 2015

    DOI: https://doi.org/10.1007/978-3-642-41981-2_53-1